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| Artikel-Nr.: 5667A-9783031097447 Herst.-Nr.: 9783031097447 EAN/GTIN: 9783031097447 |
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![](/p.gif) | This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approaches to deep learning; bilinear compressed sensing - efficiency, structure, and robustness; structured compressive sensing via neural network learning; compressed sensing for massive MIMO; and security of future communication and compressive sensing. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Gitta Kutyniok; Holger Rauhut; Robert J. Kunsch | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: sparsity; Signal Processing; random matrix theory, Compressed Sensing, Signal Processing, Random Matrix Theory, Sparsity, Information Processing |
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